Best AI Scribe for Psychiatry: How 8 Options Compare

A psychiatrist ends a 45-minute follow-up with a patient who spent most of it describing a hard week. The note still needs a mental status exam, a risk assessment, and psychotherapy minutes, all in language that holds up if anyone reads it later.

AI documentation for psychiatry can draft much of that note, and the specialty asks more of these tools than most. In this article, we compare eight options, explain what psychiatric notes demand, and show your team how to verify vendor claims and run a fair pilot.

TL;DR: AI Documentation Options for Psychiatry at a Glance

The eight options compared in this guide are:

1. DeliverHealth InstaNote

2. Abridge

3. Microsoft Dragon Copilot

4. Commure

5. Suki

6. Nabla

7. Heidi Health

8. Freed

Why Psychiatric Notes Are Harder for AI to Draft

A psychiatric note rests on three things that are hard to capture: what the patient said and how they said it, what the clinician noticed in the room, and a judgment about safety that has to hold up later. Each one puts a different demand on an AI tool.

Four demands shape every vendor conversation that follows:

The Mental Status Exam Mixes Speech and Observation

An ambient tool can capture reported mood in the patient's own words, along with the content of what they describe. Affect, psychomotor activity, grooming, and the flow of thought come from what the psychiatrist sees and hears beneath the words.

Vendors acknowledge this limit in responses the APA published, and several say their tools do not capture nonverbal cues unless the clinician adds them. A practical workflow has the psychiatrist dictate observed findings after the session, which is where medical dictation software still earns its place.

Risk Language Has to Stay Exact

Suicidal ideation, intent, plan, access to means, and protective factors carry clinical and legal weight in a psychiatric record. A draft that softens a documented denial of ideation into a vague summary leaves a gap someone will have to explain later.

The safer design leaves a risk section blank when the clinician did not address it and routes the note for review before signature. Any tool you evaluate should be designed to avoid inferring a diagnosis or a risk level from context.

Psychotherapy Notes Carry Extra Privacy Protection

Under HIPAA, psychotherapy notes receive special protection when a mental health professional records or analyzes session content and keeps those notes separate from the rest of the medical record. With few exceptions, the Privacy Rule requires patient authorization before disclosing those notes, even to another treating provider.

An AI draft that flows into the EHR becomes part of the medical record. Your compliance team should decide which session content the tool drafts for the record and which stays in a separate psychotherapy note.

Patients May Hold Back When Sessions Are Recorded

In a JAMA Network Open study on ambient documentation consent, 35% of the 103 patients surveyed said they would be more likely to hold back when discussing mental health with a recording running.

Psychiatry depends on those disclosures, which makes patient trust in ambient recording as much a rollout question as a technology one.

How to Compare AI Documentation Tools for Psychiatry

Tools in this category fall into recognizable tiers, and the tier often predicts how a product handles integration, review, and scale. The criteria that follow turn the four demands above into questions your team can score.

Two lenses help your team sort the field:

Three Tiers of AI Documentation Tools

Most products fall into one of these tiers:

• Enterprise documentation solutions: Built for health systems, with deep EHR integration, governance controls, and implementation support across many specialties.

• Clinician-level ambient tools: Self-serve products that individual clinicians and small practices can start quickly, often with free trials and browser-based EHR transfer.

• Behavioral-health-specific tools: Products built around therapy and psychiatric note formats, mostly for solo and small mental health practices.

The list below covers the first two tiers. The verification and pilot steps later in this guide apply equally to behavioral-health-specific tools.

Seven Criteria That Matter in Psychiatry

Score each option against these criteria:

• Capture mode: Ambient capture for sessions, plus dictation for rounding notes and for observed findings the psychiatrist adds after the patient leaves.

• Psychiatric note structure: Templates for intakes, medication management, psychotherapy add-on visits, and inpatient progress notes that follow your organization's formats.

• Risk and inference controls: Clear rules that keep the tool from inferring diagnoses or risk levels, with blank sections when content was not stated.

• Privacy and retention: A business associate agreement (BAA), defined audio and draft retention, and a plan for psychotherapy notes.

• Coding support: Suggestions the clinician reviews, plus notes that show psychotherapy time and a separately identifiable evaluation and management (E/M) service.

• Care setting fit: Support for outpatient clinics, telepsychiatry, and inpatient psychiatric units or consult-liaison work.

• EHR integration: Discrete-field writing or reliable transfer into the EHR your psychiatrists already use.

8 AI Documentation Options for Psychiatry Compared

Each entry below covers what the tool does for psychiatry, its key capabilities, and a fair tradeoff for the competing tools. Vendor facts come from public sources checked at the time of writing, so confirm current features during your own evaluation.

The eight options, in order:

1. DeliverHealth InstaNote

DeliverHealth provides AI-powered clinical documentation and coding solutions, and InstaNote is its documentation solution for inpatient and outpatient care. InstaNote supports ambient capture and dictation in the same encounter, so a psychiatrist can let the session run and then dictate observed mental status findings after the patient leaves.

InstaNote includes coding suggestions that the provider reviews and approves before sign-off. Its speech recognition is designed not to add anything that wasn't said, and DeliverHealth does not allow the model to infer a diagnosis, so unstated sections stay blank on purpose.

Key capabilities for psychiatry teams:

• Behavioral health templates: Formats for mental health assessments, treatment plans, and therapeutic session notes follow each organization's and each provider's requests.

• Review before signature: Configurable validation rules can route a note for review before signature, and clinicians sign every note.

• Turnaround: A near-final, structured note returns in about three minutes.

• Security: InstaNote runs on DeliverHealth's eSOne platform, which is HITRUST i1 certified, and DeliverHealth signs a BAA before handling any patient data.

• Reach: Trusted by more than 40,000 healthcare providers, with support for more than 110 languages and more than 50 EHRs, including Epic, Cerner, MEDITECH, athenahealth, eClinicalWorks, and NextGen.

• Market breadth: DeliverHealth serves small and mid-size practices through large health systems, with enterprise-level deployment for health systems.

For psychiatry service lines that want documentation and coding from the same note, DeliverHealth pairs InstaNote with InstaCode, its AI-powered medical coding solution backed by credentialed coders for complex and flagged encounters. InstaNote's combined ambient and dictation capture fits both outpatient sessions and inpatient rounds, and its templates adapt to each psychiatrist's preferred format.

Book an InstaNote demo to watch a behavioral health note move from capture to provider review, using sample notes aligned to the specialty.

2. Abridge

Abridge is an enterprise ambient AI documentation solution used by large health systems, with deep Epic integration. Tanner Health, a health system in west Georgia and east Alabama, expanded Abridge across its enterprise after a pilot that began in its behavioral health department, where Tanner reported the tool worked particularly well.

Key capabilities:

• Linked Evidence: Clinicians can highlight text in a note, see the passage of the conversation it came from, and replay the original audio.

• Enterprise deployment: Built to roll out across health systems, specialties, and care settings at scale.

• Behavioral health experience: Tanner Health's rollout began with its behavioral health clinicians before expanding system-wide.

Tradeoff: Abridge is built around ambient conversation inside large health system deployments, so smaller practices and teams that dictate much of their inpatient documentation should confirm fit during a pilot.

3. Microsoft Dragon Copilot

Microsoft Dragon Copilot combines Dragon Medical One's voice dictation with DAX Copilot's ambient listening and generative AI in one clinical workflow. Clinicians can move between dictation, ambient capture, and natural language prompts as the encounter requires.

Key capabilities:

• Dictation and ambient together: A long dictation track record alongside ambient capture, useful for psychiatrists who dictate observations after a session.

• Multiparty capture: Ambient capture of multiparty, multilingual conversations, which matters for family sessions and visits with interpreters.

• Custom templates: Clinicians can define templates for repeatable content that update from findings in the ambient conversation.

Tradeoff: Independent reviews describe Dragon Copilot as a fit for large health systems on Epic or Oracle Health, so organizations on other EHRs should confirm integration depth before committing.

4. Commure

Commure offers a broad clinical-to-cash portfolio that spans ambient documentation, a dictation product, coding support, and revenue cycle services. For psychiatry, Commure Scribe can record full-length initial evaluations, and its template builder lets psychiatrists shape mental status exam and risk sections.

Key capabilities:

• Template builder: Custom sections for the mental status exam and risk assessment.

• Coding suggestions: Suggested ICD-10 and CPT codes alongside the draft note.

• Dictation option: A separate voice dictation product for clinicians who prefer to speak their notes.

Tradeoff: Commure is a multispecialty tool, so psychiatrists build their mental status exam and risk structure in the template builder, and teams should budget setup time for that work.

5. Suki

Suki is a voice AI tool with ambient note generation, dictation, voice commands, and code suggestions, sold to individual clinicians and health systems alike. In its response to the APA, Suki said users can tailor templates for behavioral health uses such as therapy sessions and psychiatric evaluations.

Key capabilities:

• Behavioral health EHR partnership: Suki powers ambient listening inside WellSky's specialty care EHR, including behavioral health settings.

• Coding support: Suki expanded its ambient tool to suggest CPT and E/M codes alongside ICD-10 and Hierarchical Condition Category (HCC) codes.

• Integration options: Bidirectional Fast Healthcare Interoperability Resources (FHIR) integration and embedding through an application programming interface (API).

• Practice range: Designed for solo practitioners through large health systems.

Tradeoff: Suki’s APA response says session audio and transcripts are kept for seven days so its operations team can regenerate notes, so confirm that retention window fits your psychotherapy notes policy.

6. Nabla

Nabla is an ambient AI tool that drafts structured notes in real time and also supports medical dictation, with specialty coverage that includes behavioral health. Nabla works for in-person and telehealth visits, which suits outpatient psychiatry practices with a telepsychiatry mix.

Key capabilities:

• Personalization: Customizable templates and personal dictionaries, with note style that adapts to clinician edits over time.

• Multilingual support: Bilingual encounters and patient instructions in dozens of languages.

• Consent guidance: Its public registry listing states that the clinician must notify the patient and that the tool should not be used when a patient declines.

Tradeoff: Nabla's deployments center on ambulatory care, so teams with inpatient psychiatric units should test rounding and consult notes during the pilot.

7. Heidi Health

Heidi Health offers ambient documentation through web, desktop, and mobile apps and a browser extension, with a free tier and paid plans for teams. Its APA response describes templates for session notes, progress notes, and psychiatric evaluations, including a mood and affect section inside a mental state examination template.

Key capabilities:

• No inference by design: Heidi says it does not suggest diagnoses or management plans, so sensitive content enters a note when it was stated in the session or added by the clinician.

• Context tab: Clinicians can type or paste their own observations for the draft to include.

• Retention controls: Heidi says it does not store audio by default and lets clinics set transcript expiry.

• Integration: API and software development kit (SDK) options, plus a browser extension for web-based EHRs without a direct integration.

Tradeoff: Heidi’s free tier uses preset templates. Custom templates require a paid plan, so psychiatry groups that want their own evaluation and risk formats should budget for one.

8. Freed

Freed is an ambient documentation tool built for small and mid-sized practices, sold directly to individual clinicians as well as to groups. Its EHR Push feature moves a finished note into a web-based EHR with one click through a browser extension.

Key capabilities:

• Fast start: Self-serve signup suits solo psychiatrists and small groups that want to begin without an IT project.

• EHR Push: One-click note transfer into browser-based EHRs.

• Visit types: In-person and virtual visits are recorded the same way, which helps practices with telepsychiatry caseloads.

Tradeoff: EHR Push depends on a browser-based EHR, so practices on desktop EHR clients without a browser version fall back to copy and paste.

What Psychiatric Coding Needs From the Note

Psychiatric billing leans on time and on a clear separation between services, which makes the note the record every coding decision depends on. Medicare psychotherapy billing guidance from one Medicare administrative contractor states that the record must show the time spent in psychotherapy.

The same guidance says a same-day E/M service must be significant and separately identifiable to bill both services. Commercial and Medicaid plans may apply their own rules, so check each payer's policy.

CMS lists the commonly used mental health codes in its Medicare mental health coverage booklet. The code families below show what each service asks of the note:

An AI draft helps when it records psychotherapy minutes as the clinician states them and keeps medication management content distinct from the therapy narrative. Your coding team should confirm those elements in pilot notes before you scale.

Psychiatrists who round on inpatient units bill professional services there too, and inpatient and outpatient coding differences shape what each note must show. InstaCode, our AI-powered medical coding solution, codes from InstaNote, traditional dictation, or existing EHR notes, with no change to how documentation happens.

Coders credentialed through AAPC or the American Health Information Management Association (AHIMA) review every complex or flagged encounter. Every coded encounter stays auditable, with the AI's output, human changes, and the reasoning behind them recorded.

How to Verify Vendor Claims in Psychiatry

Vendor answers to the same questions give your team the fairest basis for comparison. The APA's Committee on Mental Health IT sent evaluation questions to 31 AI documentation developers and published the responses it received in the collection cited earlier, noting that it has not independently verified them.

Ask every vendor on your shortlist for written answers on these points:

• Inference: Confirm whether the model can infer a diagnosis, risk level, or symptom the clinician did not state, and how it handles sections with no supporting content.

• Nonverbal content: Ask how observed mental status findings enter the note, whether through dictation, a context field, or manual entry.

• Retention: Get audio, transcript, and draft retention periods in writing, along with deletion options.

• Psychotherapy notes: Ask how the tool keeps process notes out of the medical record when your policy requires it.

• Sample output: Request a sample psychiatric evaluation and a medication management note with a psychotherapy add-on, then have your coders review both.

• Review controls: Ask which rules can hold a note for review before signature.

Treat any single accuracy percentage with care. A headline figure rarely shows where errors cluster, and in psychiatry the risk and mental status sections matter most.

How to Roll Out and Pilot AI Documentation in Psychiatry

A psychiatry pilot should test the hardest notes your clinicians write, with consent and governance settled before the first recording. Success depends on organizational readiness for ambient AI as much as on the tool itself.

Our Director of Product Implementation, Garrett Dunne, explains the design choice behind deliberate blanks in a note:

"If you don't state it, here's the section that's going to be blank and understanding why it's blank. We're doing that on purpose to protect you and to protect the patient."

Build the pilot around these four steps:

• Settle consent and governance first: Agree on a consent script, an opt-out path, and a plan for psychotherapy notes before go-live. The JAMA Network Open study cited earlier found that many patients wanted a clear opt-out option, and recording consent rules vary by state, so involve your compliance and legal teams early.

• Choose a representative mix of encounters: Include intakes, medication management visits with psychotherapy add-ons, telepsychiatry sessions, and inpatient progress notes if your organization runs a psychiatric unit. Add at least one encounter with a documented risk assessment so reviewers can see how the tool handles safety language.

• Measure edits where the risk sits: Track edits section by section, with extra attention on the mental status exam, the risk assessment, and the plan. Ask your coding team to check psychotherapy time and E/M support in every pilot note.

• Recruit a clinical champion: A respected psychiatrist who tests the tool early can show colleagues what a good draft looks like and where review still matters. Pair that champion with a practice manager who owns scheduling, consent tracking, and feedback during the pilot.

Frequently Asked Questions

Psychiatry leaders often raise these questions during evaluation:

Can an AI Documentation Tool Capture a Full Mental Status Exam?

Ambient tools can draft the parts patients express in words, such as reported mood and thought content.

Observed findings like affect and psychomotor activity still come from the psychiatrist, through dictation or direct entry.

Should Psychotherapy Notes Go Through an AI Tool?

Your compliance team should make that call against HIPAA's psychotherapy notes provisions.

Those notes carry extra protection when kept separate from the medical record, so decide which content the tool drafts for the record and which stays in a separate note.

Will the Tool Add a Diagnosis the Psychiatrist Did Not State?

Some vendors design their tools to avoid inference, and you should confirm that design in writing.

InstaNote does not allow the model to infer a diagnosis, so a section stays blank when the psychiatrist did not address it.

Do These Tools Work for Telepsychiatry Visits?

Several tools in this guide document virtual visits, and the same CMS booklet notes that Medicare covers telehealth for behavioral and mental health on a permanent basis.

Commercial and Medicaid coverage varies, so confirm each payer's policy and test audio capture on your video platform during the pilot.

Can AI Tools Document Group Therapy Sessions?

Recording a group captures every participant's disclosures, so each member's consent matters before any ambient capture.

Another option is for the psychiatrist to dictate a short recap for each member after the session.

How to Choose a Tool Your Psychiatry Team Can Trust

Psychiatry asks AI documentation to respect what patients choose to share and to leave clinical judgment with the psychiatrist. The right tool drafts the conversation faithfully, gives observed findings a clean path into the note, and records psychotherapy time and risk language your coders and compliance team can stand behind.

If that standard matches what your organization needs, we would welcome the chance to show you how we meet it. At DeliverHealth, we provide AI-powered clinical documentation and coding solutions for psychiatry and every other specialty our customers serve.

InstaNote turns ambient conversations and dictation into structured notes with coding suggestions your providers review before sign-off, and InstaCode turns that documentation into accurate, defensible codes. Our model is not allowed to infer a diagnosis, so unstated sections stay blank for your psychiatrists to complete.

We serve small and mid-size practices through large health systems, and our InstaNote providers report 90% satisfaction, with 9 out of 10 saying they would recommend it.

Schedule an InstaNote demo to walk through a behavioral health encounter from capture to sign-off.